Skip to main content

Digital Performance Management - 4 Key Metrics to Watch

Klaus Enzenhofer

Today's websites are not just marketing channels, they are critical production factors. If a website doesn't deliver a satisfactory customer experience the entire value delivery chain breaks down, and a company will not generate revenue regardless of product quality or value proposition.

Mastering digital performance is one of the leading challenges of the web economy, and requires a joint effort between IT and the lines of business. It means measuring and managing the end-to-end transaction delivery and translating it into actionable information. This will allow you to deliver an engaging digital experience, thus maximizing revenue and improving brand loyalty.

This gets a lot easier if you simply monitor a handful of key application performance metrics. This blog describes four good ones to get started with:

1. Make sure that your online business is actually generating revenue

Cyber Monday 2014 was Walmart's biggest ever online shopping event, with mobile driving 70% of total traffic. Application performance was a major factor impacting the business results; a recent study indicates the company experienced a 2% conversion increase for every one-second improvement in response time.

It's the responsibility of both the business and engineering teams to define and achieve conversion and revenue goals, and keeping an eye on these two metrics in real time is essential.

The first set of metrics to add to your dashboard are:

■ Revenue targets

■ Conversion Rate

■ A number, or count, of money-making actions

2. Make sure that your infrastructure is available to generate revenue

There is nothing worse than your system being unavailable. This frustrates customers and often drives them to a competitor's website! Kia and Soda Stream USA struggled with this issue during Super Bowl XLVIII. To address this risk, set up an availability check for your IT systems. This is inexpensive, easily implemented and does not require much in the way of significant IT changes.

The metric to add to your dashboard is:

■ Availability from my top locations

3. Be certain that every revenue-generating customer is a happy one

You can track and understand the user's journey based on their actions. This allows you to determine what the user did with your application, how long they worked with it, which features they used and how the overall experience with your company was delivered.

The metric to add to your dashboard is:

■ User Experience Index

4. Are your business critical actions successful, erroneous or slow?

The user experience index is a great metric to provide a general overview, but there are some other revenue-generating transactions like "search", "add to cart", "check out" and "pay" that you should also be plugged into. For financial services companies, key transactions like "log-in" and "transfer funds" can be added.

The metrics to add to your dashboard are:

■ Number of executions of the critical action

■ Failure rate per critical action

■ Response time per critical action

Conclusion

It's the responsibility of both the business and engineering teams to not only define conversion and revenue goals, but also make sure they are reached. In IT you can't impact the product portfolio or how it's marketed, but you can certainly make sure application performance doesn't become a roadblock. You want to eliminate all revenue barriers, and a focus on digital performance can insure that the road to conversion is quick and easy.

Klaus Enzenhofer is a Senior Technology Strategist in the Center of Excellence at Dynatrace.

The Latest

Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...

Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...

Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...

In MEAN TIME TO INSIGHT Episode 15, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Do-It-Yourself Network Automation ... 

Zero-day vulnerabilities — security flaws that are exploited before developers even know they exist — pose one of the greatest risks to modern organizations. Recently, such vulnerabilities have been discovered in well-known VPN systems like Ivanti and Fortinet, highlighting just how outdated these legacy technologies have become in defending against fast-evolving cyber threats ... To protect digital assets and remote workers in today's environment, companies need more than patchwork solutions. They need architecture that is secure by design ...

Traditional observability requires users to leap across different platforms or tools for metrics, logs, or traces and related issues manually, which is very time-consuming, so as to reasonably ascertain the root cause. Observability 2.0 fixes this by unifying all telemetry data, logs, metrics, and traces into a single, context-rich pipeline that flows into one smart platform. But this is far from just having a bunch of additional data; this data is actionable, predictive, and tied to revenue realization ...

64% of enterprise networking teams use internally developed software or scripts for network automation, but 61% of those teams spend six or more hours per week debugging and maintaining them, according to From Scripts to Platforms: Why Homegrown Tools Dominate Network Automation and How Vendors Can Help, my latest EMA report ...

Digital Performance Management - 4 Key Metrics to Watch

Klaus Enzenhofer

Today's websites are not just marketing channels, they are critical production factors. If a website doesn't deliver a satisfactory customer experience the entire value delivery chain breaks down, and a company will not generate revenue regardless of product quality or value proposition.

Mastering digital performance is one of the leading challenges of the web economy, and requires a joint effort between IT and the lines of business. It means measuring and managing the end-to-end transaction delivery and translating it into actionable information. This will allow you to deliver an engaging digital experience, thus maximizing revenue and improving brand loyalty.

This gets a lot easier if you simply monitor a handful of key application performance metrics. This blog describes four good ones to get started with:

1. Make sure that your online business is actually generating revenue

Cyber Monday 2014 was Walmart's biggest ever online shopping event, with mobile driving 70% of total traffic. Application performance was a major factor impacting the business results; a recent study indicates the company experienced a 2% conversion increase for every one-second improvement in response time.

It's the responsibility of both the business and engineering teams to define and achieve conversion and revenue goals, and keeping an eye on these two metrics in real time is essential.

The first set of metrics to add to your dashboard are:

■ Revenue targets

■ Conversion Rate

■ A number, or count, of money-making actions

2. Make sure that your infrastructure is available to generate revenue

There is nothing worse than your system being unavailable. This frustrates customers and often drives them to a competitor's website! Kia and Soda Stream USA struggled with this issue during Super Bowl XLVIII. To address this risk, set up an availability check for your IT systems. This is inexpensive, easily implemented and does not require much in the way of significant IT changes.

The metric to add to your dashboard is:

■ Availability from my top locations

3. Be certain that every revenue-generating customer is a happy one

You can track and understand the user's journey based on their actions. This allows you to determine what the user did with your application, how long they worked with it, which features they used and how the overall experience with your company was delivered.

The metric to add to your dashboard is:

■ User Experience Index

4. Are your business critical actions successful, erroneous or slow?

The user experience index is a great metric to provide a general overview, but there are some other revenue-generating transactions like "search", "add to cart", "check out" and "pay" that you should also be plugged into. For financial services companies, key transactions like "log-in" and "transfer funds" can be added.

The metrics to add to your dashboard are:

■ Number of executions of the critical action

■ Failure rate per critical action

■ Response time per critical action

Conclusion

It's the responsibility of both the business and engineering teams to not only define conversion and revenue goals, but also make sure they are reached. In IT you can't impact the product portfolio or how it's marketed, but you can certainly make sure application performance doesn't become a roadblock. You want to eliminate all revenue barriers, and a focus on digital performance can insure that the road to conversion is quick and easy.

Klaus Enzenhofer is a Senior Technology Strategist in the Center of Excellence at Dynatrace.

The Latest

Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...

Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...

Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...

In MEAN TIME TO INSIGHT Episode 15, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Do-It-Yourself Network Automation ... 

Zero-day vulnerabilities — security flaws that are exploited before developers even know they exist — pose one of the greatest risks to modern organizations. Recently, such vulnerabilities have been discovered in well-known VPN systems like Ivanti and Fortinet, highlighting just how outdated these legacy technologies have become in defending against fast-evolving cyber threats ... To protect digital assets and remote workers in today's environment, companies need more than patchwork solutions. They need architecture that is secure by design ...

Traditional observability requires users to leap across different platforms or tools for metrics, logs, or traces and related issues manually, which is very time-consuming, so as to reasonably ascertain the root cause. Observability 2.0 fixes this by unifying all telemetry data, logs, metrics, and traces into a single, context-rich pipeline that flows into one smart platform. But this is far from just having a bunch of additional data; this data is actionable, predictive, and tied to revenue realization ...

64% of enterprise networking teams use internally developed software or scripts for network automation, but 61% of those teams spend six or more hours per week debugging and maintaining them, according to From Scripts to Platforms: Why Homegrown Tools Dominate Network Automation and How Vendors Can Help, my latest EMA report ...